Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images
Hao Chen⁎; Qi Dou⁎; Lequan Yu⁎; Jing Qin†; Lei Zhao⁎; Vincent C.T. Mok⁎; Defeng Wang⁎; Lin Shi⁎; Pheng-Ann Heng⁎ ⁎The Chinese University of Hong Kong, Hong Kong, China†The Hong Kong Polytechnic University, Hong Kong, China
Abstract
With the development of deep learning techniques, the performance of object detection has been significantly advanced. Although various methods have been designed to detect landmarks for computer-aided diagnosis, how to efficiently and effectively leverage deep learning approaches to detect sparsely distributed objects, such as mitosis and cerebral microbleeds, from large scale medical images hasn't been fully ...
Get Deep Learning for Medical Image Analysis now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
